Autoencoder-Based Target Detection in Automotive MIMO FMCW Radar System

In general, a constant false alarm rate algorithm (CFAR) is widely used to automatically detect targets in an automotive frequency-modulated continuous wave (FMCW) radar system. However, if the number of guard cells, the number of training cells, and the probability of false alarm are set improperly...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 22; číslo 15; s. 5552
Hlavní autori:	Kang, Sung-wook, Jang, Min-ho, Lee, Seongwook
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 25.07.2022 MDPI
Predmet:	Algorithms Antennas autoencoder Climate change constant false alarm rate Deep learning False alarms Fourier transforms frequency-modulated continuous wave radar multiple-input and multiple-output Neural networks Radar systems Sensors target detection
ISSN:	1424-8220, 1424-8220
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